very cool that you used supabase for this yoko - thank you.

it could be worthwile adding an an index to the migration script[0]. if you decide to do this, it will need to be HNSW since ivfflat indexes should be created _after_ the table has some data[1]. HNSW is faster as well, so it's a sensible default.

also it's worth mentioning that the gte-small[2] embedding model isn't great with non-english embeddings. I don't know if many developers will get tripped up on that, but hopefully it's clear that they can swap that for any huggingface model

[0] https://github.com/ykhli/local-ai-stack/blob/main/supabase/m...

[1] https://github.com/pgvector/pgvector#ivfflat

[2] https://github.com/ykhli/local-ai-stack/blob/1a23061442ce1d9...